qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score

84 vs 52

Hardware Fit

94 vs 100

Quality Score

80 vs 32

Hardware

qwen3.5:9b smollm2:360m

MachineASUSMacBook Air

CPUIntel Core™ i5-14600KFApple M4

Cores2010

RAM32 GB32 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4

OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3.5:9b smollm2:360m

Tokens/sec86.3117.9

First chunk316 msN/A

TTFT316 ms43 ms

Load time0.3 s0.4 s

Memory usage8.1 GB1.2 GB

Memory %25%4%

HW Fit Score Breakdown

qwen3.5:9b

Speed

50/50

TTFT

20/20

Memory

24/30

smollm2:360m

Speed

40/50

TTFT

30/20

Memory

30/30

Quality

qwen3.5:9b

Reasoning

14/20

Coding

16/20

Instruction

15/20

Structured

15/15

Math

10/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

smollm2:360m

Reasoning

4/20

Coding

2/20

Instruction

10/20

Structured

9/15

Math

4/15

Multilingual

3/10

Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

View qwen3.5:9b details | View smollm2:360m details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest